Locating the iris : A first step to registration and identification

This paper presents a method for locating the iris borders in images of the cornea. It uses a combination of a priori information, statistics and active contours to both find the iris borders and assess its own success or failure. When applied to 107 images from 11 different people with varying eye...

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Main Author: Cooper, James
Format: Conference Paper
Published: ACTA Press / IASTED 2003
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/21122
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author Cooper, James
author_facet Cooper, James
author_sort Cooper, James
building Curtin Institutional Repository
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description This paper presents a method for locating the iris borders in images of the cornea. It uses a combination of a priori information, statistics and active contours to both find the iris borders and assess its own success or failure. When applied to 107 images from 11 different people with varying eye colours including light blue and dark brown the algorithm reports 7 images for which it failed to find the borders, one of which was a false negative. In the other 100 images, the algorithm located the iris borders with average estimated errors of 5.0 pixels for the left iris-sclera border, 3.4 pixels for the right iris-sclera border and 2.1 pixels for the pupil-iris border. There were no false positive results.
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spelling curtin-20.500.11937-211222017-01-30T12:23:18Z Locating the iris : A first step to registration and identification Cooper, James circular active contour - iris - registration - identification This paper presents a method for locating the iris borders in images of the cornea. It uses a combination of a priori information, statistics and active contours to both find the iris borders and assess its own success or failure. When applied to 107 images from 11 different people with varying eye colours including light blue and dark brown the algorithm reports 7 images for which it failed to find the borders, one of which was a false negative. In the other 100 images, the algorithm located the iris borders with average estimated errors of 5.0 pixels for the left iris-sclera border, 3.4 pixels for the right iris-sclera border and 2.1 pixels for the pupil-iris border. There were no false positive results. 2003 Conference Paper http://hdl.handle.net/20.500.11937/21122 ACTA Press / IASTED fulltext
spellingShingle circular active contour - iris - registration - identification
Cooper, James
Locating the iris : A first step to registration and identification
title Locating the iris : A first step to registration and identification
title_full Locating the iris : A first step to registration and identification
title_fullStr Locating the iris : A first step to registration and identification
title_full_unstemmed Locating the iris : A first step to registration and identification
title_short Locating the iris : A first step to registration and identification
title_sort locating the iris : a first step to registration and identification
topic circular active contour - iris - registration - identification
url http://hdl.handle.net/20.500.11937/21122